This paper presents a novel intelligent multiple-controller framework incorporating a fuzzy-logic-based switching and tuning supervisor along with a generalised learning model (GLM) for an autonomous cruise control application. The proposed methodology combines the benefits of a conventional proportional-integral-derivative (PID) controller, and a PID structure-based (simultaneous) zero and pol...

This paper presents a fuzzy longitudinal control system with car-following speed ranging from 0 to 120 km/h. This controller achieves the main functions of both adaptive cruise control (ACC) and Stop & Go control. For constructing the vehicular longitudinal control system, we use vacuum boosters to control the throttle and the braking pedal, thus circumventing the technical difficulties of usin...

Research on wind turbine technologies have focused primarily on power cost reduction. Generally, this aim has been achieved by increasing power output while maintaining the structural load at a reasonable level. However, disturbances, such as wind speed, affect the performance of wind turbines, and as a result, the use of various types of controller becomes crucial.This paper deals with two ada...

In this paper we explore learning based predictive cruise control and the impact of this technology on increasing fuel efficiency for commercial trucks. Traditional cruise control is wasteful when maintaining a constant velocity over rolling hills. Predictive cruise control is able to look ahead at future road conditions and solve for a cost effective course of action. Model based controllers h...

SUMMARY A stable minimum phase transfer function from rudder angle to yaw angle is used to design a globally convergent adaptive ship autopilot. 1st-order wave disturbances in yaw are ltered by applying a notch lter. Integral action is introduced by augmenting the plant. Global convergence is proven for the total system which include the observer, the parameter update law, the feedback controll...

In this paper, a novel adaptive cruise control (ACC) algorithm based on model predictive (MPC) and active disturbance rejection (ADRC) is proposed. This paper uses an MPC for the upper controller of ACC system. Through comprehensive considerations, will output desired acceleration to lower controller. addition, increase accuracy in address fluctuations vehicle’s acceleration, aided by estimatio...

In this paper, we present an abstraction-based approach to robust safety controller synthesis for continuous-time nonlinear systems. To reduce the computational complexity associated with symbolic control approaches, develop a lazy algorithm, which iteratively explores states on boundary of controllable domain while avoiding exploration internal states, supposing that they are safely priory. A ...